Risk-Based System-Call Sequence Grouping Method for Malware Intrusion Detection
Tolvinas Vyšniūnas,
Dainius Čeponis,
Nikolaj Goranin
et al.
Abstract:Malware intrusion is a serious threat to cybersecurity; that is why new and innovative methods are constantly being developed to detect and prevent it. This research focuses on malware intrusion detection through the usage of system calls and machine learning. An effective and clearly described system-call grouping method could increase the various metrics of machine learning methods, thereby improving the malware detection rate in host-based intrusion-detection systems. In this article, a risk-based system-ca… Show more
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